Hassan Ahmad Dar@hassan-ahmad

VeriLex AI is an AI powered enterprise legal operations platform designed to simplify and automate the review of complex legal and compliance documents. Organizations today manage thousands of contracts, vendor agreements, privacy policies, employment documents, and regulatory filings. Manual legal review is slow, expensive, and prone to human error, often leaving critical risks hidden inside dense legal language. VeriLex AI solves this problem through a multi agent AI orchestration system powered by Google Gemini 2.5 Pro. Instead of relying on a single AI model, the platform uses multiple specialized AI agents that collaboratively analyze documents in real time. The workflow begins with the Extraction Agent, which processes and cleans uploaded PDF or Word documents. The Clause Detection Agent identifies important legal sections such as liability, confidentiality, payment terms, and termination clauses. The Risk Analysis Agent evaluates the document for aggressive legal language, hidden liabilities, and missing protections. The Compliance Validation Agent checks alignment with regulatory and privacy standards such as GDPR and corporate compliance requirements. Finally, the Report Generation Agent creates executive summaries, compliance reports, and actionable legal intelligence. VeriLex AI also features an Interactive Document Viewer that allows users to click on detected risks and automatically navigate to the exact highlighted clause within the document. The platform includes an enterprise dashboard with portfolio level insights, compliance intelligence scoring, AI powered legal search, exportable reports, and a context aware AI Legal Assistant capable of answering questions grounded in uploaded documents. VeriLex AI demonstrates how multi agent AI systems can transform legal operations into a faster, smarter, and more scalable workflow for modern enterprises.

VisionDraft is an AI-powered planning workspace that helps startups, SMEs, and engineering teams turn scattered project requirements into structured execution plans. In many teams, requirements come from meeting notes, chats, voice calls, and rough client requests. Without dedicated PMs or business analysts, these inputs often remain unclear, causing scope changes, stakeholder misalignment, unstable timelines, and extra planning burden on senior engineers. VisionDraft solves this by allowing users to upload requirement documents or paste raw requirement text, then automatically generating structured project proposals, system diagrams, development workflows, risk insights, open questions, and a document-aware AI chat interface. The goal is not only to summarize documents, but to reveal what is missing, unclear, or risky before development begins. IBM Bob played a central role in our project workflow. We used IBM Bob Planning Mode to brainstorm and refine the initial idea, then turned it into a structured product direction. After that, we created an IBM Bob Step-by-Step Execution Plan covering frontend, backend, and testing scopes. During development, we used a Multi-Agent Development Workflow with custom Bob configurations for frontend, backend, and testing. Each custom Bob had role-specific instructions, code style guidance, development behavior, and hackathon-focused execution rules, helping the team move faster from idea to planning, implementation, and validation.

Architect.AI is a revolutionary platform designed to bridge the gap between non-technical entrepreneurs and complex systems architecture. Most business owners understand what they want to achieve—such as automating employee onboarding or customer sales—but they lack the technical vocabulary to map out the necessary APIs, triggers, and logic. Our application solves this by acting as an AI-powered Senior Architect. Using the Gemini 1.5 Flash model, the system takes a simple natural language description and extracts a structured JSON blueprint. This blueprint includes a multi-phase implementation plan, specific tool recommendations (like Slack or Stripe), and professional "Pseudo-Logic" for developers. Beyond visualization, Architect.AI provides critical security protocols and risk assessments to identify potential bottlenecks before they happen. Users can then export this entire technical roadmap into a professional, formatted PDF document, ready for stakeholders or development teams. Architect.AI effectively turns hours of expensive consulting into a 10-second automated process.

Smart AI Tutor by Team Rising AI is an innovative learning platform designed to make studying more effective, personalized, and engaging. Built with React, TypeScript, and Vite, the platform features a dashboard for tracking progress, structured study sessions, AI-powered chat for instant explanations, and dynamic quizzes to reinforce learning. The AI Tutor, powered by Gemini API, provides step-by-step guidance, answers questions across multiple subjects, and adapts to each learner’s style. With an intuitive interface, interactive tools, and smart progress tracking, this project aims to transform traditional learning into a personalized, accessible, and intelligent study experience.

Build solutions that improve how software is built. Work with an AI that understands your codebase, helping you reduce repetitive work and build with real context. ⏳ Build your project in 48 hours. 🚀 Get hands-on with IBM Bob and explore how AI fits into real development workflows before it becomes standard. 💡 Build tools and workflows that developers would actually use. ⭐ Learn directly from experts throughout the event. 🤝 Join a team or build solo. 💰 Prize pool: $10,000 🧑🏻‍💻 Register before the Kick-Off Stream and start building with Bob.

📅 May 11–19, 2026 • May 11 – 19: Online Build Phase. • May 18 (Hybrid Build Day – Online & Onsite) • May 19 (Demos & Awards – Online & Onsite) 🌍 Hybrid event. Join online from anywhere or build onsite at the venue. 🏆 Winners will be announced live on stage at the AI & Big Data Expo North America on May 19 📍 On-site Venue (May 18–19): San Jose McEnery Convention Center, CA, USA 🤝 Join solo or with a team. 🎟 FREE AI & Big Data Expo North America ticket included for participants that are able to join the on-site phase. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.

Join our $1,000,000+ startup challenge series powered by Surge 📌 This announcement outlines the launch of a Global Human+AI Exchange — aligning universities, global cities, talent networks, and industry to accelerate human-centered AI innovation, technology transfer, and economic growth. 👉 Read more here ⏱️ 8 days to turn your idea, or existing product, into an investable demo. 📅 February 6 - 15, 2026 • Feb 6 - 14 (Online Phase) - Collaborate and build online with developers and AI innovators from around the world. All projects must be submitted by the end of the online phase on February 14th. 🕙 Doors open at 10:00 AM, first come, first served. • Feb 14 (On‑site Build Day) - Selected participants will be invited to an exclusive in‑person session to refine their projects and connect directly with mentors. • Feb 15 (On‑site Demos & Awards) - Live pitching sessions to a panel of judges and ecosystem partners, followed by the official winner announcement. 🌟 Get feedback from startup mentors and technical experts. 📍 On-site Venue (Feb 14–15): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📲 Real-time on-site updates (SF) For real-time announcements and information during the on-site portion (Feb 14–15), join the LabLab SF Chapter WhatsApp group: 👉 Join the WhatsApp group 🤝 Join solo or with a team. New founders and existing startups are welcome. 🏆 $1,000,000+ in credits, token prizes, perks and funding opportunity. 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Apply now to build, validate, and pitch with purpose.